Core Software Engineering – Shared across all projects

Systems and software architect
Work across capture, processing, storage, and analysis
Keep raw data intact and usable over time
Have established these systems and protocols from scratch

Long experience building Digital Archival/Streaming systems
EnterMedia / EmediaDB - All data formats, including Audio, Video, Images

Engineering Lifecycle

Test-driven development where practical
Automated builds and tests
Regression testing against real datasets

Explicit tracking of config and builds
Gradle, Ant, Jenkins, GitHub, Git, PyUnit, JUnit

Performance & Constraints

Profile CPU, memory, and I/O usage
Design systems that do not fall behind inputs
Explicit buffering and throughput limits

CTRE.TV – Adapted DAM for live video piplines - RTMP / SRT streaming, capture, post-analysis
JMeter, custom testbench scaffolds, profilers

Observability & Debugging

Structured logs tied to execution context

Monitoring long-running processes
Post-failure analysis using artifacts

Deployment & Operation

Containerized deployments across environments (Docker)

Same code paths in dev and production
Automation to reduce manual steps

Cloud Usage

Object storage used as an access layer
Local-first designs with optional sync
Awareness of storage and transfer costs

Linux system administration
AWS (S3, EC2), GCS, DigitalOcean
Hetzner – GPU, ZFS, automated backups

System Interfaces & Integration with other systems

Critical when you want to talk to others
REST & HTTP service design
WebSockets for live telemetry
TCP / UDP protocol integration

Embedded & browser-based UIs
Remote control & monitoring
Inter-system data exchange
Post-Mission data management